Replace fixed delays with condition polling for more reliable async tests.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Condition-Based Waiting" skill from askskill: 1. Download https://raw.githubusercontent.com/obra/clank/main/skills/testing/condition-based-waiting/SKILL.md 2. Save it as ~/.claude/skills/condition-based-waiting/SKILL.md 3. Reload skills and tell me it's ready
Please rewrite this frontend test that uses sleep(3000) into condition-based waiting: keep checking whether the “Submission successful” message appears, use a reasonable timeout and polling interval, and return a clear error message on timeout.
Rewritten test code that uses condition polling to wait for the message, including timeout handling and clearer failure messages.
I have an integration test that waits a fixed 10 seconds after triggering an export job. Please change it to poll the job status API until the status becomes completed or failed, and provide a reusable wait helper.
A test example with a reusable wait helper that determines job completion by polling the status API instead of relying on fixed delays.
Please refactor this test: after writing data, do not wait 5 seconds before querying the database; instead, repeatedly check whether the target record exists and whether the field values are correct. Also explain why this approach is more stable.
Refactored test logic that checks database state conditionally, plus a brief explanation of why it is more stable and reduces flaky failures.
Flaky tests often guess at timing with arbitrary delays. This creates race conditions where tests pass on fast machines but fail under load or in CI.
Core principle: Wait for the actual condition you care about, not a guess about how long it takes.
digraph when_to_use {
"Test uses setTimeout/sleep?" [shape=diamond];
"Testing timing behavior?" [shape=diamond];
"Document WHY timeout needed" [shape=box];
"Use condition-based waiting" [shape=box];
"Test uses setTimeout/sleep?" -> "Testing timing behavior?" [label="yes"];
"Testing timing behavior?" -> "Document WHY timeout needed" [label="yes"];
"Testing timing behavior?" -> "Use condition-based waiting" [label="no"];
}
Use when:
setTimeout, sleep, time.sleep())Don't use when:
// ❌ BEFORE: Guessing at timing
await new Promise(r => setTimeout(r, 50));
const result = getResult();
expect(result).toBeDefined();
// ✅ AFTER: Waiting for condition
await waitFor(() => getResult() !== undefined);
const result = getResult();
expect(result).toBeDefined();
| Scenario | Pattern |
|---|---|
| Wait for event | waitFor(() => events.find(e => e.type === 'DONE')) |
| Wait for state | waitFor(() => machine.state === 'ready') |
| Wait for count | waitFor(() => items.length >= 5) |
| Wait for file | waitFor(() => fs.existsSync(path)) |
| Complex condition | waitFor(() => obj.ready && obj.value > 10) |
Generic polling function:
async function waitFor<T>(
condition: () => T | undefined | null | false,
description: string,
timeoutMs = 5000
): Promise<T> {
const startTime = Date.now();
while (true) {
const result = condition();
if (result) return result;
if (Date.now() - startTime > timeoutMs) {
throw new Error(`Timeout waiting for ${description} after ${timeoutMs}ms`);
}
await new Promise(r => setTimeout(r, 10)); // Poll every 10ms
}
}
See @example.ts for complete implementation with domain-specific helpers (waitForEvent, waitForEventCount, waitForEventMatch) from actual debugging session.
❌ Polling too fast: setTimeout(check, 1) - wastes CPU
✅ Fix: Poll every 10ms
❌ No timeout: Loop forever if condition never met ✅ Fix: Always include timeout with clear error
❌ Stale data: Cache state before loop ✅ Fix: Call getter inside loop for fresh data
// Tool ticks every 100ms - need 2 ticks to verify partial output
await waitForEvent(manager, 'TOOL_STARTED'); // First: wait for condition
await new Promise(r => setTimeout(r, 200)); // Then: wait for timed behavior
// 200ms = 2 ticks at 100ms intervals - documented and justified
Requirements:
From debugging session (2025-10-03):
Write evergreen comments focused on what and why, not historical context.
Compare 2-3 approaches before execution to choose a stronger solution.
Plan with pseudocode first, refine approaches, then translate into working code.
Search past Claude Code chats to recover facts, decisions, and context.
Design systems by hiding implementation details behind domain-level interfaces.
Name code by domain meaning to improve clarity and team alignment.